Discover HPE OneSphere, a hybrid cloud management solution that enables IT to deliver private infrastructure with public-cloud ease. With the proliferation of self-service, on-demand infrastructure, enterprise developers have come to expect infrastructure as a service. However, the constraints of existing infrastructure and tools make this mean heavier workloads for IT teams.
Business applications have become the battleground for customer loyalty. To compete, IT organizations are under pressure to deliver applications faster and with higher quality. Continuous Delivery (CD) of code offers a solution. CD may be paired with DevOps, Agile and other methodologies. However, QA and testing can be an obstacle to CD’s rapid development and deployment of high quality code. Testers and developers must engage in Continuous Testing, continuously testing software for performance, quality and user experience as it’s being developed.
Continuous Testing is not a push button process, though. It requires a comprehensive approach. This paper outlines the common challenges to Continuous Testing and highlights results from real users who have used technology to get to succeed with the Continuous Testing process.
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers.
For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy.
Download this report to learn:
How to reduce monitoring blind spots when creating an ITOM strategy
How to address ITOM requirements across IT and non-IT groups
Distinct layers across ITOM Potential functionality gaps with domain-specific products
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be
The idea of load balancing is well defined in the IT world: A network device accepts traffic on behalf ofa group of servers, and distributes that traffic according to load balancing algorithms and the availabilityof the services that the servers provide. From network administrators to server administrators to applicationdevelopers, this is a generally well understood concept.
Written by: IDC Abner Germanow, Jonathan Edwards, Lee Doyle IDC believes the convergence of communications and mainstream IT architectures will drive significant innovation in business processes over the next decade.
Cisco is committed to leading the collaboration revolution— both today and tomorrow. The role of technology in themarket place is to support and inspire big ideas and innovation. Digital transformation is going to continue to drive new ways of working, and Cisco will remain a driving force, with a vision that extends beyond in-house innovations—because the best ideas can come from anywhere.
TechValidate recently surveyed 240 video game
developers, publishers, and distributors to gain insight
into the top challenges that they need to overcome
in order to take full advantage of the enormous
opportunities the digital channel provides the industry.
You’ve spent time and money to develop an impressive in-game experience and attract and acquire new players. You’ve studied your CPA and eCPI, tweaked key in-game events to drive retention and conversion, and you’ve got your marketing engine humming, focused on engagement.
Despite all this effort, you’re still not hitting your goals. Conversions are lower than expected. Churn is high. Something is not right, but you are not sure what it is.
Akamai has been helping game developers and distributors maximize the web performance of games for more than a decade. This brief outlines some common obstacles and how you can overcome them.
The ways in which the Internet supports our everyday lives have become richer, more engaging, and more mobile. This innovation is driven by the visionaries, designers, developers, and managers of the web experiences that users consume every day. By exploring new ways to solve challenges and improve products and services that enrich our lives, developers and business owners have stretched the Internet to support use cases for which it was never designed. In order to succeed, modern web experiences must seem simple to end-users, even though most ultimately require complex design and technology to deliver.
Published By: Red Hat
Published Date: Aug 22, 2018
Digital transformation projects present many technological and organizational challenges. A key
challenge is developing modern, cloud-native applications that connect customers directly using
automated business processes and decisions. Creating these applications requires a radical change
in how software is built—moving away from traditional, IT-led software development to a process
that lets both developers and business experts contribute directly to application logic.
With cloud, mobile and all the new tools & frameworks that come with them, application development has never been so easy – or so hard.
Join leading application development expert Mark Driver of Gartner as he answers your most pressing questions, including:
What is the impact of lightweight and scripting applications traditional IT process?
How has app development changed with the rise of cloud computing?
How has mobile development changed expectations of developers and the apps they build?
Published By: Infosys
Published Date: May 30, 2018
APIs are a convenient way for enterprises, particularly in the financial services domain, to monetize their services with minimum expenditure. However, making sure that the APIs are always available, scalable, and secure is vital for the API economy to truly realize its potential.
A major financial services firm built an API platform to earn revenue by exposing its backend functions, but needed a partner to make sure the platform was well supported and available 24/7 to partners and developers. See how Infosys helped and the five key takeaways from the project.
There are some surprisingly straightforward reasons behind the glitches, delays, and cost-overruns that can bedevil data warehouse initiatives. ...The first is simply confusing expectations with requirements. But four other troublemakers can also lead to big problems for developers, IT departments, and organizations seeking to maximize the business value of information.
Published By: Red Hat
Published Date: Jan 06, 2014
Interested in leveraging automation technologies and a cloud architecture to make developers more productive? Learn how PaaS can benefit your organization to help you streamline your application development, allow you to use existing infrastructure and improve operational efficiencies. Begin charting your path to PaaS with OpenShift Enterprise.
Published By: Red Hat
Published Date: Jan 06, 2014
Struggling to keep up with increasing application demand? Platform as a Service (PaaS) can streamline application development processes and make resource management easy with auto-scaling and consistent integration. Learn how OpenShift Enterprise can help architects standardize development processes, while letting developers focus on their code.
Published By: Red Hat
Published Date: Jan 09, 2014
A large enterprise data warehouse company used Red Hat® CloudForms to create a private cloud that includes automated provisioning and self-service for developers and testers. This let them build, test, and release new product versions faster. Find out how in this case study.
Published By: Red Hat
Published Date: Jan 01, 2013
IT provisioning was slowing Cigna’s developers. In response, they developed Infrastructure-as-a-Service (IaaS) self-service provisioning using Red Hat and Red Hat-supported open source projects. Success led to a development infrastructure that speeds results and boosts the bottom line.
"Delivering business transformation is an incredibly complex task for IT. Keeping the lights on while supporting digital transformation initiatives requires a new era of hybrid IT so IT teams can address the needs of not just IT operations staff, but also application developers and LOB executives.
Through in-depth interviews of IT operations and LOB staff, IDC shares how enterprises are handling the challenges and opportunities presented by hybrid IT.
Find out how you can create value and competitive advantage through digital transformation."
My name is Jonathan McCaffrey and I work on the infrastructure team here at Riot. This is the first post in a series where we’ll go deep on how we deploy and operate backend features around the globe. Before we dive into the technical details, it’s important to understand how Rioters think about feature development. Player value is paramount at Riot, and development teams often work directly with the player community to inform features and improvements. In order to provide the best possible player experience, we need to move fast and maintain the ability to rapidly change plans based upon feedback. The infrastructure team’s mission is to pave the way for our developers to do just that - the more we empower Riot teams, the faster features can be shipped to players to enjoy.
Hey all, this is David Press and Doug Lardo, two engineers working on improving the data center networking that enables online services at Riot. This article is the third part in a series on exactly that topic, which begins with an overview from Jonathan of a platform we called rCluster. This time we’ll be discussing our approach to Software Defined Networking (SDN), how we integrate SDN with Docker, and the new infrastructure paradigms that this combination has unlocked for us. If you’re curious about how SDN can transform infrastructure, how to empower developers to obtain and secure networking resources via an API, or how to get out of purchasing larger and larger specialized networking appliances, this article is for you.
These challenges stem from an increased focus on agility and scale for building modern applications—and traditional application development methodology cannot support this environment.
CA Technologies has expanded full lifecycle API management to include microservices—an integration enabling the best of breeds to work together to provide the platform for modern architectures and a secure environment for agility and scale. CA enables enterprises to use best practices and industry–leading technology to accelerate and make the process of architecture modernization more practical.
APIs are a critical component of digital business—empowering developers to build apps across any channel and enabling partners to incorporate your data or services into their offerings. By making it easier for other organizations to access your services, you create value and growth opportunities.
This rapidly evolving digital world is also redefining the relationship between your business and your customers, who now expect a convenient, interactive experience from their preferred brands. Security is also a concern. Risk is rising, as both the enterprise and its customers exchange a growing amount of sensitive data.